How to Use the Weiban Assistant MCP in Cursor

Q: How do I use Weiban Assistant to get customer details in Cursor?

You call the getcustomerdetails tool within your code. The AI agent executes it and injects the returned data directly into your file, letting you write against real client information.

Q: Can Weiban Assistant help me list customers using Cursor?

Absolutely. Use listcustomers to get a comprehensive array of all existing accounts. You can then iterate over this list in your code, writing functions for every single customer.

Q: What if I need organization activity summaries with Weiban Assistant and Cursor?

Simply ask the agent to run getorgsummary. The resulting data structure is passed back into your coding session as a variable, ready for you to manipulate.

Q: How does Weiban Assistant and Cursor handle listing group chats?

You use listgroupchats to get the list of chat IDs. You can then build scripts that loop through these IDs to perform bulk operations or analysis.

Q: What type of data does Weiban Assistant touch when working with Cursor?

It handles communication records, specifically chatrecords (list chat histories) and customer data via getcustomerdetails. The output is structured JSON ready for coding.

Inject live WeCom data into code using Cursor and the MCP Server.

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Connect Weiban Assistant MCP to Cursor

Create your Vinkius account to connect Weiban Assistant to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Weiban Assistant with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate code based on lead status.

The `list_leads` tool lets you pull real-time sales leads right into your file. Your agent can then use this live data to write functions that process or categorize those contacts. No more writing mock API responses; the AI uses actual, actionable lead information.

Build reports using staff metrics.

When you need to analyze team behavior, call `get_staff_stats`. You can then write code that takes this statistical output and builds a visualization or an API endpoint for it. It makes the live data immediately usable in your development stack.

Draft messages using group chat context.

Need to reference a past discussion? `get_group_chat` retrieves the details of specific WeCom groups. You can write logic that takes these chat details and formats them for an external system. This means your code is always working with current, relevant conversation data.

Setup guide

Set up Weiban Assistant MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Weiban Assistant MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Weiban Assistant transactions." If the MCP tools are loaded correctly, Cursor will call the Weiban Assistant tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "weiban-assistant-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Weiban Assistant. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Weiban Assistant MCP in Cursor

You call the `get_customer_details` tool within your code. The AI agent executes it and injects the returned data directly into your file, letting you write against real client information.

Absolutely. Use `list_customers` to get a comprehensive array of all existing accounts. You can then iterate over this list in your code, writing functions for every single customer.

Simply ask the agent to run `get_org_summary`. The resulting data structure is passed back into your coding session as a variable, ready for you to manipulate.

You use `list_group_chats` to get the list of chat IDs. You can then build scripts that loop through these IDs to perform bulk operations or analysis.

It handles communication records, specifically `chat_records` (list chat histories) and customer data via `get_customer_details`. The output is structured JSON ready for coding.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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